code: def test_watch_parameters_torch_jit(mock_run, capsys, log_type):
      run = mock_run(use_magic_mock=True)
      net = torch.jit.script(nn.Linear(10, 2))
      run.watch(net, log=log_type)
  
      outerr = capsys.readouterr()
      assert "skipping parameter tracking" in outerr.err
  
file_path: wandb/tests/pytest_tests/unit_tests/test_torch.py
imports: import pytest
  import torch
  import torch.nn
  import wandb
label_desc: Use image node_id 5 for calling a global function with example usage: test_watch_parameters_torch_jit(mock_run, capsys, log_type) without return types